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Gaussian Process Based Message Filtering for Robust Multi-Agent
  Cooperation in the Presence of Adversarial Communication

Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication

1 December 2020
Rupert Mitchell
J. Blumenkamp
Amanda Prorok
    AAML
ArXiv (abs)PDFHTML

Papers citing "Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication"

13 / 13 papers shown
Rethinking Adversarial Policies: A Generalized Attack Formulation and
  Provable Defense in RL
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RLInternational Conference on Learning Representations (ICLR), 2023
Xiangyu Liu
Souradip Chakraborty
Yanchao Sun
Furong Huang
AAML
384
10
0
27 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary
  Multi-Agent Adversary Generation
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan
F. Chen
Zhongzhan Zhang
Yang Yu
AAML
418
17
0
09 May 2023
Robust Multi-agent Communication via Multi-view Message Certification
Robust Multi-agent Communication via Multi-view Message Certification
Lei Yuan
T. Jiang
Lihe Li
F. Chen
Zongzhang Zhang
Yang Yu
287
3
0
07 May 2023
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
  (evolved version)
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots (evolved version)IEEE International Conference on Robotics and Automation (ICRA), 2023
Matthew Cavorsi
Orhan Eren Akgün
M. Yemini
Andrea J. Goldsmith
Stephanie Gil
213
1
0
07 Mar 2023
A Theory of Mind Approach as Test-Time Mitigation Against Emergent
  Adversarial Communication
A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial CommunicationAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Nancirose Piazza
Vahid Behzadan
AAML
175
7
0
14 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial
  Minority Influence
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceNeural Networks (Neural Netw.), 2023
Simin Li
Jun Guo
Jingqiao Xiu
Pu Feng
Xin Yu
Aishan Liu
Wenjun Wu
Xianglong Liu
AAML
464
30
0
07 Feb 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent
  Reinforcement Learning
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen
Junae Kim
Claudia Szabo
AAML
303
7
0
11 Jan 2023
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
Exploiting Trust for Resilient Hypothesis Testing with Malicious RobotsIEEE Transactions on robotics (TRO), 2022
Matthew Cavorsi
Orhan Eren Akgün
M. Yemini
Andrea J. Goldsmith
Stephanie Gil
206
16
0
25 Sep 2022
Certifiably Robust Policy Learning against Adversarial Communication in
  Multi-agent Systems
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems
Yanchao Sun
Ruijie Zheng
Parisa Hassanzadeh
Yongyuan Liang
Soheil Feizi
Sumitra Ganesh
Furong Huang
AAML
270
12
0
21 Jun 2022
Beyond Robustness: A Taxonomy of Approaches towards Resilient
  Multi-Robot Systems
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok
Matthew Malencia
Luca Carlone
Gaurav Sukhatme
Brian M. Sadler
Vijay Kumar
324
84
0
25 Sep 2021
Graph2Pix: A Graph-Based Image to Image Translation Framework
Graph2Pix: A Graph-Based Image to Image Translation Framework
Dilara Gokay
Enis Simsar
Efehan Atici
Alper Ahmetoglu
Atif Emre Yuksel
Pinar Yanardag
DiffM
195
3
0
22 Aug 2021
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative
  Reinforcement Learning
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
Wanqi Xue
Wei Qiu
Bo An
Zinovi Rabinovich
S. Obraztsova
C. Yeo
AAML
343
42
0
09 Aug 2021
The Holy Grail of Multi-Robot Planning: Learning to Generate
  Online-Scalable Solutions from Offline-Optimal Experts
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal ExpertsAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
Amanda Prorok
J. Blumenkamp
Qingbiao Li
Ryan Kortvelesy
Yanfeng Guo
Ethan Stump
OffRL
179
9
0
26 Jul 2021
1
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